Senior Software Engineering - Ag & Trading

Job Purpose and Impact
The Senior Software Engineering - Ag & Trading for AI Assistants & Agents in AI & Data Science builds services to operate Cargill’s portfolio of GenAI Assistants and Agents - including ChatGPT-powered copilots and bespoke LLM services. You will translate product requirements into secure, efficient, and observable services and or agents; manage the lifecycle from experiment to production; and continually improve reliability, latency, and cost. Typical deliverables span REST services, vector-search back end, LLMOps & AgentOps pipelines, and rich front-end components for knowledge workers and plant operators. Expect to collaborate daily with product managers, data scientists, cloud engineers, and security teams while acting as the technical authority for GenAI feature design and launch.
Key Accountabilities
Design & Build
Develop multi-agent workflow automation patterns using Agentic AI
Process redesign and mapping to agentic workflow patterns
Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
Platform Ops
Extend evaluation, automated testing, canary rollout, and rollback for AgentOps.
Profile inference latency, GPU/CPU utilization, and memory; deliver quarterly cost-to-serve reductions
Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents
Operational Excellence
Own on-call runbooks, SLOs, and incident reviews; embed observability
Enforce Responsible-AI guardrails, data-privacy controls, and vulnerability-management policies for AI Assistants and AI agents
Enablement & Mentoring
Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs.
Qualifications
Minimum: 4 years building production software or data platforms .
Typical: 5–8 years, including 2+ years with cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software devlopment
Experience building and scaling full-stack applications using the following languages/frameworks: React & typescript, Java (Spring Boot) and/or Python Preferred:
Experience building AI solutions, working with AI tools like Claude Code, GitHub Copilot, etc.
Experience with building applications that use large language models or other AI services
Working with AI coding assistants or agentic development tools
Strong foundation in relational databases, with hands‑on experience using PostgreSQL
Experience with CI/CD pipelines and modern DevOps delivery practices
Experience deploying and operating applications on cloud‑native platforms
Proficiency with Git‑based version control and collaborative development workflows
Understanding of modern application architectures, cloud‑native patterns, and security best practices

Work arrangement
No